Sökning: "deep calibration"

Visar resultat 11 - 15 av 35 uppsatser innehållade orden deep calibration.

1. 11. Probability of Default Term Structure Modeling : A Comparison Between Machine Learning and Markov Chains

   Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistik

   Författare :Hugo Englund; Viktor Mostberg; [2022]
   Nyckelord :Machine Learning; Deep Neural Networks; XGBoost; Probability of Default; Term Structure Modeling; IFRS 9; Maskininlärning; Djupa neuronnät; XGBoost; Fallisemangsrisk; Terminsstruktursmodellering; IFRS 9;

   Sammanfattning : During the recent years, numerous so-called Buy Now, Pay Later companies have emerged. A type of financial institution offering short term consumer credit contracts. As these institutions have gained popularity, their undertaken credit risk has increased vastly. Simultaneously, the IFRS 9 regulatory requirements must be complied with. LÄS MER

3. 12. Probabilistic Detection of Nuclei in Digital Pathology using Bayesian Deep Learning

   Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

   Författare :Chuxin Zhang; [2022]
   Nyckelord :Uncertainty Estimation; Bayesian Deep Learning; Monte-Carlo Dropout; Digital Pathology;

   Sammanfattning : Deep learning (DL) has demonstrated outstanding performance in a variety of applications. With the assistance of DL, healthcare seeks to reduce labor costs and increase access to high-quality medical resources. To ensure the stability and robustness of DL applications in medicine, it is essential to estimate the uncertainty. LÄS MER

4. 13. Deep Learning for Whole Slide Image Cytology : A Human-in-the-Loop Approach

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Institutionen för informationsteknologi

   Författare :Christopher Rydell; [2021]
   Nyckelord :machine learning; deep learning; cytology; whole slide imaging; deep neural networks; convolutional neural networks; certainty calibration; calibration metrics; active learning; deep active learning; human-in-the-loop;

   Sammanfattning : With cancer being one of the leading causes of death globally, and with oral cancers being among the most common types of cancer, it is of interest to conduct large-scale oral cancer screening among the general population. Deep Learning can be used to make this possible despite the medical expertise required for early detection of oral cancers. LÄS MER

5. 14. Temporal Convolutional Networks in Lieu of Fuel Performance Codes : Conceptual Study Using a Cladding Oxidation Model

   L3-uppsats, Uppsala universitet/Tillämpad kärnfysik

   Författare :Viktor Nerlander; [2021]
   Nyckelord :Machine Learning; Nuclear Power; Temporal Convolutional Network;

   Sammanfattning : Fuel performance codes are used to demonstrate with confidencethat nuclear fuel rods will sustain normal operation and transientevents without being damaged. However, the execution time of a typ-ical fuel rod simulation ranges from tens of seconds to minutes which can be impractical in certain applications. LÄS MER

7. 15. Single image scene-depth estimation based on self-supervised deep learning : For perception in autonomous heavy duty vehicles

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för visuell information och interaktion

   Författare :Yegor Piven; [2021]
   Nyckelord :computer vision; machine learning; deep learning; depth estimation; single image depth estimation;

   Sammanfattning : Depth information is a vital component for perception of the 3D structure of vehicle's surroundings in the autonomous scenario. Ubiquity and relatively low cost of camera equipment make image-based depth estimation very attractive compared to employment of the specialised sensors. LÄS MER